Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2024
- ICML 2024
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Quantum Theory and Application of Contextual Optimal Transport
- Nicola Mariella
- Albert Akhriev
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Distributed Bilevel Optimization with Communication Compression
- Yutong He
- Jie Hu
- et al.
- 2024
- ICML 2024
Federated Neuro-Symbolic Learning
- Pengwei Xing
- Songtao Lu
- et al.
- 2024
- ICML 2024
Graph2Tac: Online Representation Learning of Formal Math Concepts
- Lasse Blaauwbroek
- Miroslav Olšák
- et al.
- 2024
- ICML 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- Tobia Boschi
- Francesca Bonin
- et al.
- 2024
- ICML 2024
AgraBOT: Accelerating Third-Party Security Risk Management in Enterprise Setting through Generative AI
- Mert Toslali
- Edward Snible
- et al.
- 2024
- ESEC/FSE 2024
Fast (Trapless) Kernel Probes Everywhere
- Jinghao Jia
- Michael Le
- et al.
- 2024
- USENIX ATC 2024